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Retrieval method based on Koolean calculation for extracting partial information from multiple images

A technology of partial information and characteristic information, which is applied in the direction of digital data information retrieval, still image data retrieval, calculation, etc., can solve the problems that cannot be realized, achieve the effect of reducing requirements and improving the success rate of retrieval

Pending Publication Date: 2022-08-02
张晓明
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Existing multiple retrieval methods have at least three limitations: (1) These methods require at least one image similar to the user's expectation as a retrieval instance
Unfortunately, to the best of our knowledge, this requirement cannot be achieved with existing methods

Method used

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  • Retrieval method based on Koolean calculation for extracting partial information from multiple images
  • Retrieval method based on Koolean calculation for extracting partial information from multiple images
  • Retrieval method based on Koolean calculation for extracting partial information from multiple images

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Embodiment Construction

[0030] In order to have a clearer understanding of the technical features, objects and effects of the present invention, the specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0031] In a preferred embodiment, reference figure 1 , the Boolean-calculable retrieval method based on extracting partial information from multiple graphs in this embodiment includes the following steps:

[0032] S1. Receive at least two sample pictures, select the region of interest of each of the sample pictures, and receive the combination logic between the sample pictures.

[0033] S2. Extract feature information corresponding to the region of interest in each of the sample pictures.

[0034] S3. Search the picture database according to the combination logic and the feature information, and obtain a picture retrieval result that conforms to the combination logic and the feature information.

[0035] This embodiment allows th...

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Abstract

The invention relates to a retrieval method based on Koolean calculation for extracting partial information from a plurality of images. The method comprises the following steps: S1, receiving at least two sample pictures, selecting a region of interest of each sample picture, and receiving combinational logic among the sample pictures; s2, extracting feature information corresponding to the region of interest in each sample picture; and S3, searching a picture database according to the combinatorial logic and the feature information to obtain a picture retrieval result conforming to the combinatorial logic and the feature information. A user is allowed to select partial information of different pictures for combined retrieval, the user does not need to provide an accurate target image any more, the requirement for retrieval materials is lowered, and the retrieval success rate of the user is increased.

Description

technical field [0001] The present invention relates to the field of picture retrieval, and more particularly, to a retrieval method based on Boolean calculation based on extracting partial information from multiple pictures. Background technique [0002] Image retrieval (Image retrieval, also known as image search) has been widely used in various industries, such as criminal investigation, image database query, face recognition, medicine and so on. Image retrieval mainly focuses on how to retrieve a desired image from a large database of images. In the literature, existing image retrieval methods can be classified into three categories: context-based image retrieval, content-based image retrieval, and hybrid-features image retrieval). [0003] Context-based image retrieval methods exploit semantic information (i.e., high-level features), such as labels, titles, and text that are manually annotated around images. Obviously, the manual labeling process requires a lot of ma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/532G06F16/55G06F16/583
CPCG06F16/532G06F16/55G06F16/5838G06F16/5862G06F16/583
Inventor 张晓明陈尚伟
Owner 张晓明
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